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    "# 掌握大气环流分型的基本方法--EOF\n",
    "# 实习内容\n",
    "### 对1979-2016 JJA亚澳季风区（20°S-40°N；30°E-180°E） 850hPa 位势高度进行自然正交展开，输出EOF第一模态和第二模态的空间场和时间序列。"
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    "# 需要用到的包\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
    "from matplotlib.ticker import MultipleLocator\n",
    "## EOF 关键包\n",
    "from eofs.standard import Eof"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:    (level: 17, lat: 73, lon: 144, time: 513, nbnds: 2)\n",
       "Coordinates:\n",
       "  * level      (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat        (lat) float32 90.0 87.5 85.0 82.5 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon        (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-09-01\n",
       "Dimensions without coordinates: nbnds\n",
       "Data variables:\n",
       "    time_bnds  (time, nbnds) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-10-01\n",
       "    hgt        (time, level, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:    CF-1.0\n",
       "    title:          Monthly NCEP/DOE Reanalysis 2\n",
       "    comments:       Data is from \\nNCEP/DOE AMIP-II Reanalysis (Reanalysis-2)...\n",
       "    platform:       Model\n",
       "    source:         NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Model\n",
       "    institution:    National Centers for Environmental Prediction\n",
       "    dataset_title:  NCEP-DOE AMIP-II Reanalysis\n",
       "    References:     https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysi...\n",
       "    source_url:     http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/\n",
       "    history:        created 2002/03 by Hoop (netCDF2.3)\\nConverted to chunked...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-84a56cf7-af49-46eb-9901-7538802fbf2c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-84a56cf7-af49-46eb-9901-7538802fbf2c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>level</span>: 17</li><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li><li><span class='xr-has-index'>time</span>: 513</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1ce59755-ba30-44ce-b84d-cf1692a3275f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1ce59755-ba30-44ce-b84d-cf1692a3275f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 925.0 850.0 ... 20.0 10.0</div><input id='attrs-53d27dcb-2938-4a76-a64c-67773e1e36b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53d27dcb-2938-4a76-a64c-67773e1e36b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bfc4706-d7d9-4983-8437-99ff8282c584' class='xr-var-data-in' type='checkbox'><label for='data-0bfc4706-d7d9-4983-8437-99ff8282c584' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  925.,  850.,  700.,  600.,  500.,  400.,  300.,  250.,  200.,\n",
       "        150.,  100.,   70.,   50.,   30.,   20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-1f2cf24d-8085-4e56-8663-b0b72e32506b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f2cf24d-8085-4e56-8663-b0b72e32506b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d325ea8e-9cda-40a3-b3fc-9b4884c8cb80' class='xr-var-data-in' type='checkbox'><label for='data-d325ea8e-9cda-40a3-b3fc-9b4884c8cb80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-0eaf9c28-fb92-4b10-845e-8804186b855d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eaf9c28-fb92-4b10-845e-8804186b855d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3ef6837-b956-461b-bd60-abb8cdda911b' class='xr-var-data-in' type='checkbox'><label for='data-d3ef6837-b956-461b-bd60-abb8cdda911b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-01-01 ... 2021-09-01</div><input id='attrs-038cba25-626a-43da-ba25-8e31237d3c6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-038cba25-626a-43da-ba25-8e31237d3c6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c45a325c-88cc-4ddd-8761-8ee1286103a7' class='xr-var-data-in' type='checkbox'><label for='data-c45a325c-88cc-4ddd-8761-8ee1286103a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>coordinate_defines :</span></dt><dd>start</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>actual_range :</span></dt><dd>[1569072. 1943088.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1979-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-09-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae82997a-9c53-4497-8598-81b3c8e35db3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae82997a-9c53-4497-8598-81b3c8e35db3' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6148d589-84e2-402e-85b6-944bff558353' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6148d589-84e2-402e-85b6-944bff558353' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3490e41-7f6b-4c23-bc3a-1bd2076b75cb' class='xr-var-data-in' type='checkbox'><label for='data-c3490e41-7f6b-4c23-bc3a-1bd2076b75cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[&#x27;1979-01-01T00:00:00.000000000&#x27;, &#x27;1979-02-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-02-01T00:00:00.000000000&#x27;, &#x27;1979-03-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;1979-03-01T00:00:00.000000000&#x27;, &#x27;1979-04-01T00:00:00.000000000&#x27;],\n",
       "       ...,\n",
       "       [&#x27;2021-07-01T00:00:00.000000000&#x27;, &#x27;2021-08-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2021-08-01T00:00:00.000000000&#x27;, &#x27;2021-09-01T00:00:00.000000000&#x27;],\n",
       "       [&#x27;2021-09-01T00:00:00.000000000&#x27;, &#x27;2021-10-01T00:00:00.000000000&#x27;]],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hgt</span></div><div class='xr-var-dims'>(time, level, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ead9ef6-3d45-47ef-a706-d992df377fad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ead9ef6-3d45-47ef-a706-d992df377fad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c63fc81c-dc36-4e28-9e9f-118681ec06b3' class='xr-var-data-in' type='checkbox'><label for='data-c63fc81c-dc36-4e28-9e9f-118681ec06b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Geopotential Heights on Pressure Levels</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>GRIB_id :</span></dt><dd>7</dd><dt><span>GRIB_name :</span></dt><dd>HGT</dd><dt><span>var_desc :</span></dt><dd>Geopotential height</dd><dt><span>dataset :</span></dt><dd>NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Monthly Averages</dd><dt><span>level_desc :</span></dt><dd>Pressure Levels</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>standard_name :</span></dt><dd>geopotential_height</dd><dt><span>cell_methods :</span></dt><dd>time: mean (montly from 6-hourly values)</dd><dt><span>valid_range :</span></dt><dd>[-1500. 35800.]</dd><dt><span>actual_range :</span></dt><dd>[ -347. 32301.]</dd></dl></div><div class='xr-var-data'><pre>[91675152 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d71f31b-826d-4bd4-b84d-02de8c7ea044' class='xr-section-summary-in' type='checkbox'  ><label for='section-1d71f31b-826d-4bd4-b84d-02de8c7ea044' class='xr-section-summary' >Attributes: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>title :</span></dt><dd>Monthly NCEP/DOE Reanalysis 2</dd><dt><span>comments :</span></dt><dd>Data is from \n",
       "NCEP/DOE AMIP-II Reanalysis (Reanalysis-2)\n",
       "(4x/day).  It consists of most variables interpolated to\n",
       "pressure surfaces from model (sigma) surfaces.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>source :</span></dt><dd>NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Model</dd><dt><span>institution :</span></dt><dd>National Centers for Environmental Prediction</dd><dt><span>dataset_title :</span></dt><dd>NCEP-DOE AMIP-II Reanalysis</dd><dt><span>References :</span></dt><dd>https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html</dd><dt><span>source_url :</span></dt><dd>http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/</dd><dt><span>history :</span></dt><dd>created 2002/03 by Hoop (netCDF2.3)\n",
       "Converted to chunked, deflated non-packed NetCDF4 2020/05</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (level: 17, lat: 73, lon: 144, time: 513, nbnds: 2)\n",
       "Coordinates:\n",
       "  * level      (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat        (lat) float32 90.0 87.5 85.0 82.5 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon        (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time       (time) datetime64[ns] 1979-01-01 1979-02-01 ... 2021-09-01\n",
       "Dimensions without coordinates: nbnds\n",
       "Data variables:\n",
       "    time_bnds  (time, nbnds) datetime64[ns] ...\n",
       "    hgt        (time, level, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:    CF-1.0\n",
       "    title:          Monthly NCEP/DOE Reanalysis 2\n",
       "    comments:       Data is from \\nNCEP/DOE AMIP-II Reanalysis (Reanalysis-2)...\n",
       "    platform:       Model\n",
       "    source:         NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Model\n",
       "    institution:    National Centers for Environmental Prediction\n",
       "    dataset_title:  NCEP-DOE AMIP-II Reanalysis\n",
       "    References:     https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysi...\n",
       "    source_url:     http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/\n",
       "    history:        created 2002/03 by Hoop (netCDF2.3)\\nConverted to chunked..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据\n",
    "ds=xr.open_dataset('hgt.mon.mean.nc')\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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    "pycharm": {
     "name": "#%%\n"
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   },
   "outputs": [
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       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (year: 38, lat: 25, lon: 61)&gt;\n",
       "array([[[1503.3334, 1497.    , 1489.3334, ..., 1540.6666, 1548.    ,\n",
       "         1554.    ],\n",
       "        [1498.    , 1491.6666, 1485.    , ..., 1556.3334, 1562.6666,\n",
       "         1567.    ],\n",
       "        [1499.3334, 1492.6666, 1487.6666, ..., 1566.    , 1570.    ,\n",
       "         1574.    ],\n",
       "        ...,\n",
       "        [1557.3334, 1562.3334, 1565.    , ..., 1520.    , 1520.3334,\n",
       "         1521.    ],\n",
       "        [1564.6666, 1568.    , 1569.3334, ..., 1521.3334, 1521.6666,\n",
       "         1522.6666],\n",
       "        [1572.    , 1573.6666, 1573.3334, ..., 1520.    , 1520.3334,\n",
       "         1521.3334]],\n",
       "\n",
       "       [[1495.3334, 1491.    , 1485.6666, ..., 1517.    , 1524.3334,\n",
       "         1532.    ],\n",
       "        [1492.3334, 1487.    , 1481.    , ..., 1534.3334, 1540.6666,\n",
       "         1548.3334],\n",
       "        [1494.3334, 1489.3334, 1484.    , ..., 1548.3334, 1553.3334,\n",
       "         1559.3334],\n",
       "...\n",
       "        [1553.6666, 1559.    , 1562.6666, ..., 1521.6666, 1521.3334,\n",
       "         1521.6666],\n",
       "        [1559.6666, 1564.3334, 1566.6666, ..., 1525.3334, 1525.6666,\n",
       "         1526.3334],\n",
       "        [1566.    , 1569.    , 1569.6666, ..., 1528.    , 1528.    ,\n",
       "         1528.    ]],\n",
       "\n",
       "       [[1507.6666, 1502.3334, 1496.6666, ..., 1541.3334, 1545.6666,\n",
       "         1551.3334],\n",
       "        [1498.6666, 1494.6666, 1489.6666, ..., 1553.    , 1558.6666,\n",
       "         1564.6666],\n",
       "        [1497.3334, 1494.    , 1490.3334, ..., 1560.6666, 1566.3334,\n",
       "         1572.3334],\n",
       "        ...,\n",
       "        [1561.    , 1565.3334, 1568.6666, ..., 1520.3334, 1521.6666,\n",
       "         1522.6666],\n",
       "        [1568.6666, 1572.    , 1573.6666, ..., 1523.6666, 1525.    ,\n",
       "         1526.    ],\n",
       "        [1576.6666, 1578.3334, 1577.6666, ..., 1525.3334, 1526.3334,\n",
       "         1527.    ]]], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 40.0 37.5 35.0 32.5 30.0 ... -12.5 -15.0 -17.5 -20.0\n",
       "  * lon      (lon) float32 30.0 32.5 35.0 37.5 40.0 ... 172.5 175.0 177.5 180.0\n",
       "  * year     (year) int64 1979 1980 1981 1982 1983 ... 2012 2013 2014 2015 2016</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 38</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 61</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ba13693d-e3cb-48ea-a86f-4892334e4f9b' class='xr-array-in' type='checkbox' checked><label for='section-ba13693d-e3cb-48ea-a86f-4892334e4f9b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.503e+03 1.497e+03 1.489e+03 ... 1.525e+03 1.526e+03 1.527e+03</span></div><div class='xr-array-data'><pre>array([[[1503.3334, 1497.    , 1489.3334, ..., 1540.6666, 1548.    ,\n",
       "         1554.    ],\n",
       "        [1498.    , 1491.6666, 1485.    , ..., 1556.3334, 1562.6666,\n",
       "         1567.    ],\n",
       "        [1499.3334, 1492.6666, 1487.6666, ..., 1566.    , 1570.    ,\n",
       "         1574.    ],\n",
       "        ...,\n",
       "        [1557.3334, 1562.3334, 1565.    , ..., 1520.    , 1520.3334,\n",
       "         1521.    ],\n",
       "        [1564.6666, 1568.    , 1569.3334, ..., 1521.3334, 1521.6666,\n",
       "         1522.6666],\n",
       "        [1572.    , 1573.6666, 1573.3334, ..., 1520.    , 1520.3334,\n",
       "         1521.3334]],\n",
       "\n",
       "       [[1495.3334, 1491.    , 1485.6666, ..., 1517.    , 1524.3334,\n",
       "         1532.    ],\n",
       "        [1492.3334, 1487.    , 1481.    , ..., 1534.3334, 1540.6666,\n",
       "         1548.3334],\n",
       "        [1494.3334, 1489.3334, 1484.    , ..., 1548.3334, 1553.3334,\n",
       "         1559.3334],\n",
       "...\n",
       "        [1553.6666, 1559.    , 1562.6666, ..., 1521.6666, 1521.3334,\n",
       "         1521.6666],\n",
       "        [1559.6666, 1564.3334, 1566.6666, ..., 1525.3334, 1525.6666,\n",
       "         1526.3334],\n",
       "        [1566.    , 1569.    , 1569.6666, ..., 1528.    , 1528.    ,\n",
       "         1528.    ]],\n",
       "\n",
       "       [[1507.6666, 1502.3334, 1496.6666, ..., 1541.3334, 1545.6666,\n",
       "         1551.3334],\n",
       "        [1498.6666, 1494.6666, 1489.6666, ..., 1553.    , 1558.6666,\n",
       "         1564.6666],\n",
       "        [1497.3334, 1494.    , 1490.3334, ..., 1560.6666, 1566.3334,\n",
       "         1572.3334],\n",
       "        ...,\n",
       "        [1561.    , 1565.3334, 1568.6666, ..., 1520.3334, 1521.6666,\n",
       "         1522.6666],\n",
       "        [1568.6666, 1572.    , 1573.6666, ..., 1523.6666, 1525.    ,\n",
       "         1526.    ],\n",
       "        [1576.6666, 1578.3334, 1577.6666, ..., 1525.3334, 1526.3334,\n",
       "         1527.    ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-53f626a6-eb45-4dac-801f-6bdc60b1bc6f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53f626a6-eb45-4dac-801f-6bdc60b1bc6f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>850.0</div><input id='attrs-b6908afe-a5dd-48ab-b918-591b911c69eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6908afe-a5dd-48ab-b918-591b911c69eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04319632-f35c-49cf-bebb-f64b41ae4586' class='xr-var-data-in' type='checkbox'><label for='data-04319632-f35c-49cf-bebb-f64b41ae4586' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array(850., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>40.0 37.5 35.0 ... -17.5 -20.0</div><input id='attrs-32f1aa89-6b78-4fae-8d35-909998956c03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32f1aa89-6b78-4fae-8d35-909998956c03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79c20c07-258e-4d54-946e-5621d2676d0f' class='xr-var-data-in' type='checkbox'><label for='data-79c20c07-258e-4d54-946e-5621d2676d0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([ 40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>30.0 32.5 35.0 ... 177.5 180.0</div><input id='attrs-ca65cf1f-f96f-4777-b711-72175c7c1573' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca65cf1f-f96f-4777-b711-72175c7c1573' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73b2fe1c-1539-40e8-81fd-76cb57eab512' class='xr-var-data-in' type='checkbox'><label for='data-73b2fe1c-1539-40e8-81fd-76cb57eab512' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>point</dd></dl></div><div class='xr-var-data'><pre>array([ 30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,  50. ,  52.5,\n",
       "        55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,  75. ,  77.5,\n",
       "        80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5, 100. , 102.5,\n",
       "       105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5, 125. , 127.5,\n",
       "       130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5, 150. , 152.5,\n",
       "       155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5, 175. , 177.5,\n",
       "       180. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1979 1980 1981 ... 2014 2015 2016</div><input id='attrs-095cf298-7ba0-4a2f-b42b-fba8a5c0680a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-095cf298-7ba0-4a2f-b42b-fba8a5c0680a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3207f3c-7430-4e05-9c15-c6e84a4f650b' class='xr-var-data-in' type='checkbox'><label for='data-b3207f3c-7430-4e05-9c15-c6e84a4f650b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990,\n",
       "       1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002,\n",
       "       2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014,\n",
       "       2015, 2016], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec29ea40-83a5-4890-8b68-47a556e96d89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec29ea40-83a5-4890-8b68-47a556e96d89' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (year: 38, lat: 25, lon: 61)>\n",
       "array([[[1503.3334, 1497.    , 1489.3334, ..., 1540.6666, 1548.    ,\n",
       "         1554.    ],\n",
       "        [1498.    , 1491.6666, 1485.    , ..., 1556.3334, 1562.6666,\n",
       "         1567.    ],\n",
       "        [1499.3334, 1492.6666, 1487.6666, ..., 1566.    , 1570.    ,\n",
       "         1574.    ],\n",
       "        ...,\n",
       "        [1557.3334, 1562.3334, 1565.    , ..., 1520.    , 1520.3334,\n",
       "         1521.    ],\n",
       "        [1564.6666, 1568.    , 1569.3334, ..., 1521.3334, 1521.6666,\n",
       "         1522.6666],\n",
       "        [1572.    , 1573.6666, 1573.3334, ..., 1520.    , 1520.3334,\n",
       "         1521.3334]],\n",
       "\n",
       "       [[1495.3334, 1491.    , 1485.6666, ..., 1517.    , 1524.3334,\n",
       "         1532.    ],\n",
       "        [1492.3334, 1487.    , 1481.    , ..., 1534.3334, 1540.6666,\n",
       "         1548.3334],\n",
       "        [1494.3334, 1489.3334, 1484.    , ..., 1548.3334, 1553.3334,\n",
       "         1559.3334],\n",
       "...\n",
       "        [1553.6666, 1559.    , 1562.6666, ..., 1521.6666, 1521.3334,\n",
       "         1521.6666],\n",
       "        [1559.6666, 1564.3334, 1566.6666, ..., 1525.3334, 1525.6666,\n",
       "         1526.3334],\n",
       "        [1566.    , 1569.    , 1569.6666, ..., 1528.    , 1528.    ,\n",
       "         1528.    ]],\n",
       "\n",
       "       [[1507.6666, 1502.3334, 1496.6666, ..., 1541.3334, 1545.6666,\n",
       "         1551.3334],\n",
       "        [1498.6666, 1494.6666, 1489.6666, ..., 1553.    , 1558.6666,\n",
       "         1564.6666],\n",
       "        [1497.3334, 1494.    , 1490.3334, ..., 1560.6666, 1566.3334,\n",
       "         1572.3334],\n",
       "        ...,\n",
       "        [1561.    , 1565.3334, 1568.6666, ..., 1520.3334, 1521.6666,\n",
       "         1522.6666],\n",
       "        [1568.6666, 1572.    , 1573.6666, ..., 1523.6666, 1525.    ,\n",
       "         1526.    ],\n",
       "        [1576.6666, 1578.3334, 1577.6666, ..., 1525.3334, 1526.3334,\n",
       "         1527.    ]]], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 40.0 37.5 35.0 32.5 30.0 ... -12.5 -15.0 -17.5 -20.0\n",
       "  * lon      (lon) float32 30.0 32.5 35.0 37.5 40.0 ... 172.5 175.0 177.5 180.0\n",
       "  * year     (year) int64 1979 1980 1981 1982 1983 ... 2012 2013 2014 2015 2016"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hgt=ds['hgt'].loc[ds.time.dt.month.isin([6,7,8])].loc['1979-01-01':'2016-12-01',850.0,40:-20,30:180]\n",
    "hgt=hgt.groupby(hgt.time.dt.year).mean(dim='time')\n",
    "hgt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "hgteof=Eof(np.array(hgt))\n",
    "## 取前2两个模态\n",
    "eofhgt=hgteof.eofsAsCorrelation(neofs=2) # 空间场\n",
    "pchgt=hgteof.pcs(npcs=2,pcscaling=1) # 时间序列\n",
    "evar=hgteof.varianceFraction(neigs=2) # 解释方差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1.5634757 ,  0.07376511],\n",
       "       [-1.224854  , -0.07571068],\n",
       "       [ 0.7784287 , -0.18800074],\n",
       "       [-0.42930058, -1.0165492 ],\n",
       "       [-1.3497611 , -0.01416038],\n",
       "       [ 1.785056  , -0.57181966],\n",
       "       [ 0.5887041 , -0.8094481 ],\n",
       "       [ 0.9104065 , -1.3801852 ],\n",
       "       [-1.7197292 , -0.70097965],\n",
       "       [-0.10521292,  1.2104366 ],\n",
       "       [-0.18192312,  0.42833355],\n",
       "       [ 0.37716174, -0.6417549 ],\n",
       "       [ 0.3290026 , -1.0503819 ],\n",
       "       [-0.4908305 , -0.01432126],\n",
       "       [-1.1169811 , -0.99497277],\n",
       "       [ 1.1831589 ,  0.13270588],\n",
       "       [ 0.14463572,  0.4185814 ],\n",
       "       [-0.11419309,  0.62284434],\n",
       "       [-1.0135423 , -1.5045646 ],\n",
       "       [-1.5861311 ,  2.2196324 ],\n",
       "       [ 0.15570408,  0.71214926],\n",
       "       [ 1.1451224 ,  0.7045367 ],\n",
       "       [ 1.3586309 , -0.46098226],\n",
       "       [-0.05403249, -1.2099621 ],\n",
       "       [-0.27808395,  1.0985438 ],\n",
       "       [-0.16156636, -1.0159552 ],\n",
       "       [-0.06140544, -0.0340497 ],\n",
       "       [-0.22836266,  0.06624586],\n",
       "       [ 1.4682307 ,  0.4703151 ],\n",
       "       [ 0.74050933,  1.3434232 ],\n",
       "       [ 0.28498256, -0.5570681 ],\n",
       "       [-1.3902348 ,  2.9823108 ],\n",
       "       [ 1.3317236 ,  0.94937867],\n",
       "       [ 1.3505174 ,  0.10139987],\n",
       "       [ 1.4697452 ,  0.970534  ],\n",
       "       [-0.30128828, -0.7239575 ],\n",
       "       [-1.4579117 , -1.43996   ],\n",
       "       [-0.57288754, -0.10035876]], dtype=float32)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pchgt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lon=hgt[\"lon\"].data\n",
    "lat =hgt['lat'].data\n",
    "time=hgt['year'].data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 创建地图\n",
    "def createmap(ax1):\n",
    "    # 海岸线\n",
    "    ax1.coastlines('110m')\n",
    "    ax1.set_extent([30,180,-20,40],crs=ccrs.PlateCarree())\n",
    "    # 标注坐标轴\n",
    "    ax1.set_xticks(np.arange(30, 181, 30), crs=ccrs.PlateCarree())\n",
    "    ax1.set_yticks(np.arange(-20, 41, 20), crs=ccrs.PlateCarree())\n",
    "    # 设置大小刻度\n",
    "    minorticks = MultipleLocator(10)\n",
    "    majorticks = MultipleLocator(30)\n",
    "    ax1.xaxis.set_major_locator(majorticks)\n",
    "    ax1.xaxis.set_minor_locator(minorticks)\n",
    "    ax1.yaxis.set_minor_locator(minorticks)\n",
    "    # 经纬度格式，把0经度设置不加E和W\n",
    "    lon_formatter = LongitudeFormatter(zero_direction_label=False)\n",
    "    lat_formatter = LatitudeFormatter()\n",
    "    ax1.xaxis.set_major_formatter(lon_formatter)\n",
    "    ax1.yaxis.set_major_formatter(lat_formatter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x432 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## 绘图部分\n",
    "fig =plt.figure(figsize=(20,6))\n",
    "# EOF空间场\n",
    "ax1=fig.add_axes([0.1,0.55,0.48,0.4],projection=ccrs.PlateCarree(central_longitude=105))\n",
    "ax3=fig.add_axes([0.1,0.05,0.48,0.4],projection=ccrs.PlateCarree(central_longitude=105))\n",
    "createmap(ax1)\n",
    "createmap(ax3)\n",
    "# 设置标题\n",
    "ax1.set_title('(a) EOF1(HGT from 1979-2016)',loc='left')\n",
    "ax1.set_title(str(round(evar[0]*100,2))+'%',loc='right')\n",
    "ax3.set_title('(c) EOF2(HGT from 1979-2016)',loc='left')\n",
    "ax3.set_title(str(round(evar[1]*100,2))+'%',loc='right')\n",
    "# EOF1\n",
    "ax1.contourf(lon,lat,eofhgt[0,:,:],cmap=plt.cm.RdBu_r,zorder=0,extend='both',levels=np.arange(-0.9,1,0.01),transform=ccrs.PlateCarree())\n",
    "# EOF2\n",
    "colorbar=ax3.contourf(lon,lat,eofhgt[1,:,:],cmap=plt.cm.RdBu_r,zorder=0,extend='both',levels=np.arange(-0.9,1,0.01),transform=ccrs.PlateCarree())\n",
    "colorbarax=fig.add_axes([0.50,0.05,0.01,0.9])\n",
    "plt.colorbar(colorbar,cax=colorbarax,format='%.1f',shrink=0.5)\n",
    "#EOF时间序列\n",
    "ax2=fig.add_axes([0.55,0.55,0.3,0.4])\n",
    "ax4=fig.add_axes([0.55,0.05,0.3,0.4])\n",
    "ax2.set_title('(b) PC1',loc='left')\n",
    "ax4.set_title('(d) PC2',loc='left')\n",
    "###\n",
    "bar=ax2.bar(time,pchgt[:,0],color='black')\n",
    "for i in bar:\n",
    "    if i.get_height()>0:\n",
    "        i.set_facecolor('red')\n",
    "    else:\n",
    "        i.set_facecolor('blue')\n",
    "# ax2.fill_between(time,pchgt[:,0],where=pchgt[:,0]>0,facecolor='red')\n",
    "# ax2.fill_between(time,pchgt[:,0],where=pchgt[:,0]<0,facecolor='blue')\n",
    "ax2.axhline(y=0,linestyle='--',color='black')\n",
    "#-----------------------------------------------------------------------------------#\n",
    "bar=ax4.bar(time,pchgt[:,1],color='black')\n",
    "for i in bar:\n",
    "    if i.get_height()>0:\n",
    "        i.set_facecolor('red')\n",
    "    else:\n",
    "        i.set_facecolor('blue')\n",
    "# ax4.fill_between(time,pchgt[:,1],where=pchgt[:,1]>0,facecolor='red')\n",
    "# ax4.fill_between(time,pchgt[:,1],where=pchgt[:,1]<0,facecolor='blue')\n",
    "ax4.axhline(y=0,linestyle='--',color='black')\n",
    "##保存图片\n",
    "plt.savefig('data/ex2.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 38 artists>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rectangle(xy=(2015.6, 0), width=0.8, height=-0.572888, angle=0)\n"
     ]
    }
   ],
   "source": [
    "print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['_PROPERTIES_EXCLUDED_FROM_SET', '__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getstate__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', '_agg_filter', '_alias_map', '_alpha', '_animated', '_antialiased', '_axes', '_bind_draw_path_function', '_callbacks', '_capstyle', '_clipon', '_clippath', '_cm_set', '_convert_units', '_convert_xy_units', '_dashes', '_dashoffset', '_default_contains', '_edge_default', '_edgecolor', '_facecolor', '_fill', '_get_clipping_extent_bbox', '_gid', '_hatch', '_hatch_color', '_height', '_in_layout', '_joinstyle', '_label', '_linestyle', '_linewidth', '_mouseover', '_original_edgecolor', '_original_facecolor', '_path_effects', '_picker', '_process_radius', '_rasterized', '_remove_method', '_set_alpha_for_array', '_set_edgecolor', '_set_facecolor', '_set_gc_clip', '_sketch', '_snap', '_stale', '_sticky_edges', '_transform', '_transformSet', '_update_set_signature_and_docstring', '_url', '_us_dashes', '_visible', '_width', '_x0', '_y0', 'add_callback', 'angle', 'axes', 'clipbox', 'contains', 'contains_point', 'contains_points', 'convert_xunits', 'convert_yunits', 'draw', 'figure', 'fill', 'findobj', 'format_cursor_data', 'get_aa', 'get_agg_filter', 'get_alpha', 'get_angle', 'get_animated', 'get_antialiased', 'get_bbox', 'get_capstyle', 'get_children', 'get_clip_box', 'get_clip_on', 'get_clip_path', 'get_cursor_data', 'get_data_transform', 'get_ec', 'get_edgecolor', 'get_extents', 'get_facecolor', 'get_fc', 'get_figure', 'get_fill', 'get_gid', 'get_hatch', 'get_height', 'get_in_layout', 'get_joinstyle', 'get_label', 'get_linestyle', 'get_linewidth', 'get_ls', 'get_lw', 'get_patch_transform', 'get_path', 'get_path_effects', 'get_picker', 'get_rasterized', 'get_sketch_params', 'get_snap', 'get_tightbbox', 'get_transform', 'get_transformed_clip_path_and_affine', 'get_url', 'get_verts', 'get_visible', 'get_width', 'get_window_extent', 'get_x', 'get_xy', 'get_y', 'get_zorder', 'have_units', 'is_transform_set', 'mouseover', 'pchanged', 'pick', 'pickable', 'properties', 'remove', 'remove_callback', 'set', 'set_aa', 'set_agg_filter', 'set_alpha', 'set_angle', 'set_animated', 'set_antialiased', 'set_bounds', 'set_capstyle', 'set_clip_box', 'set_clip_on', 'set_clip_path', 'set_color', 'set_ec', 'set_edgecolor', 'set_facecolor', 'set_fc', 'set_figure', 'set_fill', 'set_gid', 'set_hatch', 'set_height', 'set_in_layout', 'set_joinstyle', 'set_label', 'set_linestyle', 'set_linewidth', 'set_ls', 'set_lw', 'set_path_effects', 'set_picker', 'set_rasterized', 'set_sketch_params', 'set_snap', 'set_transform', 'set_url', 'set_visible', 'set_width', 'set_x', 'set_xy', 'set_y', 'set_zorder', 'stale', 'stale_callback', 'sticky_edges', 'update', 'update_from', 'validCap', 'validJoin', 'xy', 'zorder']\n"
     ]
    }
   ],
   "source": [
    "print(dir(i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.5728875398635864"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i.get_height()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "1af7d1ae3c55d82bbda2a5569c7a9f2f2d33ff4c43dd1c666120ac4867346c8c"
  },
  "kernelspec": {
   "display_name": "Python 3.10.4 ('py310')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
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 },
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